1. A sensitivity-based nonlinear finite element model updating method for nonlinear engineering structures
- Author
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Dong Jiang, Hui Jin, Qingguo Fei, Rakesh K. Kapania, Cao Zhifu, and Shaoqing Wu
- Subjects
Nonlinear system ,Cantilever ,Computer science ,Nonlinear finite element model ,Noise (signal processing) ,Applied Mathematics ,Modeling and Simulation ,MathematicsofComputing_NUMERICALANALYSIS ,Structure (category theory) ,Applied mathematics ,Perturbation (astronomy) ,Sensitivity (control systems) ,Finite element method - Abstract
This paper presents a novel non-intrusive sensitivity-based nonlinear finite element model updating method in which the local nonlinearity of structure is considered. The sensitivity analysis is conducted to determine the sensitivity of a dynamic response with respect to different nonlinear parameters using the real and imaginary perturbation method in one single calculation. The use of the imaginary perturbation is capable of second-order accuracy in imaginary perturbation sensitivity analysis of the nonlinear finite element model updating procedure. The nonlinear parameters in the finite element model are estimated by using the improved sensitivity-based optimization algorithm. A nonlinear multi-degree-of-freedom oscillator and a cantilever beam with multiple nonlinear supports are studied to verify the accuracy of the proposed method. The effects of measurement noise and initial parameters on the performance of the presented approach are further investigated. Then, the proposed approach is verified by an experimental test of a cantilever beam with a steel slice. The updated nonlinear finite element model is further evaluated by the structure subjected to new excitations. Results show that the proposed method can effectively update the nonlinear finite element model even in the presence of contaminated measurement data and different initial parameters in the finite element model.
- Published
- 2021
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